Researcher

Nakamasa Inoue

Outline

The goal of this project is to create higher-order models for discovering semantic concepts from multimedia data. Here, a higher-order model is a model to generate detection models for unseen semantic concepts such as objects, actions, and scenes. We develop a learning framework to obtain a higher-order model from pre-trained deep neural networks. We evaluate the framework on a large-scale video dataset by finding and detecting unseen objects, event and scenes.